... Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience ... Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales ...
... Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience ... Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales ...
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Sr Delivery ... machine learning, and serverless technologies - Knowledge of security and compliance standards ...
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Sr Delivery ... machine learning, and serverless technologies - Knowledge of security and compliance standards ...
... machine learning and AI-powered demand forecasting solutions within the automotive logistics ... Develop and manage end-to-end ML pipelines using Amazon SageMaker Pipelines, AWS Step Functions ...
... machine learning and AI-powered demand forecasting solutions within the automotive logistics ... Develop and manage end-to-end ML pipelines using Amazon SageMaker Pipelines, AWS Step Functions ...
Responsibilities : • Design and development of Machine Learning, Artificial Intelligence and ... Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP). • Previous experience leading ...
Responsibilities : • Design and development of Machine Learning, Artificial Intelligence and ... Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP). • Previous experience leading ...
Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...
Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...
Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...
Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...
Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...
Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...
Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...
Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...
Senior Financial Analyst, Last Mile Operations Finance - US FP&A
Irving, TX · On-site
$82K - $102K/yr
Amazon Logistics (AMZL) is Amazon's "Last Mile" delivery service, responsible for delivering ... Leverage AI tools and technologies (e.g., machine learning models, generative AI, predictive ...
Senior Financial Analyst, Last Mile Operations Finance - US FP&A
Irving, TX · On-site
$82K - $102K/yr
Amazon Logistics (AMZL) is Amazon's "Last Mile" delivery service, responsible for delivering ... Leverage AI tools and technologies (e.g., machine learning models, generative AI, predictive ...
Sr. Cloud Solutions Consultant, FedFin
Dallas, TX · On-site
$57.75 - $79/hr
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery ... machine learning, and serverless technologies - Experience in performance optimization and cost ...
Sr. Cloud Solutions Consultant, FedFin
Dallas, TX · On-site
$57.75 - $79/hr
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery ... machine learning, and serverless technologies - Experience in performance optimization and cost ...
Senior Delivery Consultant - Cloud Application Architecture, AWS Professional Services, WWPS - Educa
Dallas, TX · On-site
$57.75 - $79/hr
... machine learning, and serverless technologies - Knowledge of security and compliance standards ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...
Senior Delivery Consultant - Cloud Application Architecture, AWS Professional Services, WWPS - Educa
Dallas, TX · On-site
$57.75 - $79/hr
... machine learning, and serverless technologies - Knowledge of security and compliance standards ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...
Senior Solutions Architect, Healthcare Partners, Public Sector, National Systems Integrator Partners
... and machine learning. Do you have a knack for helping healthcare organizations understand ... Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...
Senior Solutions Architect, Healthcare Partners, Public Sector, National Systems Integrator Partners
... and machine learning. Do you have a knack for helping healthcare organizations understand ... Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...
Senior Solutions Architect, Healthcare Partners, Public Sector, National Systems Integrator Partners
Dallas, TX · On-site
... and machine learning? Do you have a knack for helping healthcare organizations understand ... Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...
Senior Solutions Architect, Healthcare Partners, Public Sector, National Systems Integrator Partners
Dallas, TX · On-site
... and machine learning? Do you have a knack for helping healthcare organizations understand ... Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...
Senior Solutions Architect, Healthcare Partners, Public Sector, National Systems Integrator Partners
Dallas, TX · On-site
... and machine learning. Do you have a knack for helping healthcare organizations understand ... Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...
Senior Solutions Architect, Healthcare Partners, Public Sector, National Systems Integrator Partners
Dallas, TX · On-site
... and machine learning. Do you have a knack for helping healthcare organizations understand ... Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...
At Amazon Web Services (AWS), we are inventing the future of cloud computing with a team of ... to use machine learning to discover new insights and make recommendations that will realize ...
At Amazon Web Services (AWS), we are inventing the future of cloud computing with a team of ... to use machine learning to discover new insights and make recommendations that will realize ...
The Amazon Web Services Professional Services (ProServe) team is seeking an experienced ProServe ... machine learning, and serverless technologies - Knowledge of security and compliance standards ...
The Amazon Web Services Professional Services (ProServe) team is seeking an experienced ProServe ... machine learning, and serverless technologies - Knowledge of security and compliance standards ...
Lead Data Engineer - AWS
Dallas, TX · Remote
$104K - $138K/yr
Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...
Quick apply
Lead Data Engineer - AWS
Dallas, TX · Remote
$104K - $138K/yr
Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...
Solutions Architect, Hi-Tech and Semiconductor
Dallas, TX · On-site
$62.25 - $82/hr
... machine learning. You'll help customers get the most out of the cloud at every stage of their ... Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...
Solutions Architect, Hi-Tech and Semiconductor
Dallas, TX · On-site
$62.25 - $82/hr
... machine learning. You'll help customers get the most out of the cloud at every stage of their ... Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...
At Amazon Web Services (AWS), we are inventing the future of cloud computing with a team of ... to use machine learning to discover new insights and make recommendations that will realize ...
At Amazon Web Services (AWS), we are inventing the future of cloud computing with a team of ... to use machine learning to discover new insights and make recommendations that will realize ...
Lead Data Engineer - AWS
Dallas, TX · On-site +1
$101K - $133K/yr
Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...
Lead Data Engineer - AWS
Dallas, TX · On-site +1
$101K - $133K/yr
Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...
Amazon Machine Learning information
See Dallas, TX salary details
$25.2K - $30.8K
5% of jobs
$32.7K is the 25th percentile. Wages below this are outliers.
$30.8K - $36.5K
59% of jobs
$36.5K - $42.1K
9% of jobs
$42.5K is the 75th percentile. Wages above this are outliers.
$42.1K - $47.7K
17% of jobs
$47.7K - $53.3K
4% of jobs
$53.3K - $58.9K
2% of jobs
$58.9K - $64.6K
3% of jobs
$64.6K - $70.2K
0% of jobs
$70.2K - $75.8K
0% of jobs
$75.8K - $81.4K
0% of jobs
$81.4K - $87.1K
0% of jobs
$25.2K
$42.1K
$87.1K
How much do amazon machine learning jobs pay per year?
What types of projects and daily tasks can I expect in an Amazon Machine Learning position?
As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.
What are the key skills and qualifications needed to thrive in the Amazon Machine Learning position, and why are they important?
To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.
What is an Amazon Machine Learning job?
An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 22 days ago
Amazon rating
7.4
Based on 6,965 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
This is a high-impact role at the intersection of technology and the world's most dynamic retail markets. You'll partner with CxOs, IT leaders, and line-of-business executives to identify transformative opportunities, build compelling business cases, and accelerate AWS adoption - all while being supported by specialists across AI/ML, data, migration, and partners.
Key job responsibilities
Drive revenue and market share growth across a defined portfolio of global Retail & CPG enterprise accounts spanning multiple countries and regions
Develop and execute strategic account plans to grow AWS footprint, with an emphasis on generative AI (Amazon Bedrock, Amazon Q), data & analytics, and application modernization
Build and maintain executive-level relationships (CxO, VP, IT Director) across headquarters and regional subsidiaries to deeply understand customer business objectives and map AWS solutions to outcomes
Create and articulate compelling value propositions around AWS services aligned to retail industry challenges (e.g., supply chain optimization, omnichannel, personalisation, demand forecasting)
Coordinate cross-region sales motions, aligning local account teams and global stakeholders to deliver a unified customer experience
Manage a robust sales pipeline; meet or exceed quarterly revenue targets
Collaborate cross-functionally with Solutions Architects, Partner teams, Professional Services, and ISVs to deliver end-to-end customer outcomes
Leverage the AWS Partner ecosystem and AWS Marketplace to drive co-sell and joint value delivery
Represent the voice of the customer internally, influencing AWS product and go-to-market strategy for the global retail segment
A day in the life
Your day will be a dynamic blend of strategic relationship building and solution crafting: diving deep into customer ecosystems, identifying unique business challenges, and mapping transformative solutions that drive meaningful impact. You bring a sales, business, and technical background that enables you to drive cloud adoption and AI/ML outcomes at the CXO level, as well as engage with software developers, IT architects, and other line-of-business executives.
About the team
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
BASIC QUALIFICATIONS
- 10+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience
- Experience identifying, developing, negotiating, and closing large-scale technology deals
- Experience leading large enterprise transformations with AWS/cloud services
- Bachelor's degree or equivalent
PREFERRED QUALIFICATIONS
- 10+ years of technology sales experience
- Experience with AI/ML technologies
- MBA, or 4+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
- Experience driving new business in greenfield accounts at the C-suite level or equivalent
- AWS Cloud Practitioner certification
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Dallas - 170,000.00 - 230,000.00 USD annually
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US